Analyzing and Visualizing Knowledge Structures of Research and Development Trends in Internet of Things for Smart Agriculture: A Decade Overview DOI Creative Commons
Fairuz Iqbal Maulana, Puput Dani Prasetyo Adi, Mohammad Nazir Arifin

et al.

E3S Web of Conferences, Journal Year: 2024, Volume and Issue: 501, P. 01015 - 01015

Published: Jan. 1, 2024

Internet of Things (IoT) has become an increasingly important technology in Agriculture, revolutionized the agricultural industry by providing farmers with real-time data on crop yields, soil moisture, and weather patterns. This research aims to provide a comprehensive overview latest developments Scopus-based for Smart Agriculture over last decade (2013-2022). A rigorous search method was used identify IoT-related publications Scopus database from 2013 2022. The study also identified collaborations between various institutions, countries noted leading contributions this field. top authors field are Kamienski, C., Suciu, G., Debauche, O., while institutions Vellore Institute Technology, Universidade Federal do ABC, Chandigarh University. India, China, United States were most productive countries, 356, 110, 59 articles. results network visualization using VOSviewer found that there 4 clusters based their respective colours. have potential valuable insights scholars, practitioners, politicians, funding organizations seeking gain grasp current trends objectives within particular subject. selected as performers can excellent opportunities cooperation facilitate acquisition up-to-date knowledge Agriculture.

Language: Английский

A comprehensive review of soil organic carbon estimates: Integrating remote sensing and machine learning technologies DOI Creative Commons
Tong Li, Lizhen Cui, Matthias Kuhnert

et al.

Journal of Soils and Sediments, Journal Year: 2024, Volume and Issue: 24(11), P. 3556 - 3571

Published: Oct. 5, 2024

Abstract Purpose Accurately assessing soil organic carbon (SOC) content is vital for ecosystem services management and addressing global climate challenges. This study undertakes a comprehensive bibliometric analysis of estimates SOC using remote sensing (RS) machine learning (ML) techniques. It showcases the historical growth thematic evolution in research, aiming to amplify understanding estimation themes provide scientific support change adaptation mitigation. Materials Methods Employing extensive literature database analysis, network clustering techniques, reviews 1,761 articles on RS technologies 490 employing both ML technologies. Results Discussion The results indicate that satellite-based RS, particularly Landsat series, predominant other associated studies, with North America, China, Europe leading evaluations Africa having low adopting technology. Trends research demonstrate an from basic mapping advanced topics such as (C) sequestration, complex modeling, big data utilization. Thematic clusters co-occurrence suggest interplay between technology development, environmental surveys, properties, dynamics. Conclusion highlights synergy ML, techniques proving be critical accurate estimation. These findings are crucial estimation, informed strategic decision-making.

Language: Английский

Citations

8
Agriculture Digitalization: A Global Examination Based on Bibliometric Analysis DOI
Maria Elena Latino, Marta Menegoli, Angelo Corallo

et al.

IEEE Transactions on Engineering Management, Journal Year: 2022, Volume and Issue: 71, P. 1330 - 1345

Published: March 30, 2022

Several research studies discuss the process of agriculture digitalization proposing technologies able to face current agri-food challenges. However, extant bibliometric do not fully exploit complementarity different modern tools, such as performance analysis and science mapping consider entire field timespan. Therefore, aim this study is complement update previous works provide a broad quantitative qualitative view Agriculture 4.0 by using synergistically mapping. The was realized on sample 2334 papers adopting statistical frequency VOSviewer. Performance provided key findings about following indicators: subject areas, publications trend, most productive journals, document types, authors productivity, authors' index keywords, cited papers, influent institutions, country map collaboration, documents funding sponsor. Science main thematic field' clusters their evolution overtime: technology application in agricultural industry, data model for prediction, experimentation applicative smart agriculture, decision support systems crop monitoring. This could benefit: food companies, supporting identification; governments, suggesting policies stimulate process; academics, incentivizing more consciousness topic agenda; those who approach first time, facilitating bibliographical referencing.

Language: Английский

Citations

28
The carbon emission reduction effect of digital agriculture in China DOI
MA Song-lin,

LI Jin-feng,

Wantong Wei

et al.

Environmental Science and Pollution Research, Journal Year: 2022, Volume and Issue: unknown

Published: Dec. 8, 2022

Language: Английский

Citations

26
A Deep Learning Model of Radio Wave Propagation for Precision Agriculture and Sensor System in Greenhouses DOI Creative Commons
Dora Cama-Pinto, Miguel Damas, Juan A. Holgado-Terriza

et al.

Agronomy, Journal Year: 2023, Volume and Issue: 13(1), P. 244 - 244

Published: Jan. 13, 2023

The production of crops in greenhouses will ensure the demand for food world’s population coming decades. Precision agriculture is an important tool this purpose, supported among other things, by technology wireless sensor networks (WSN) monitoring agronomic parameters. Therefore, prior planning deployment WSN nodes relevant because their coverage decreases when radio waves are attenuated foliage plantation. In that sense, method proposed study applies Deep Learning to develop empirical model wave attenuation it crosses vegetation includes height and distance between transceivers nodes. quality expressed via parameters cross-validation, R2 0.966, while its generalized error 0.920 verifying reliability model.

Language: Английский

Citations

13
Assessment of Smart Mechatronics Applications in Agriculture: A Review DOI Creative Commons
Sairoel Amertet, Girma Gebresenbet,

Hassan M. Alwan

et al.

Applied Sciences, Journal Year: 2023, Volume and Issue: 13(12), P. 7315 - 7315

Published: June 20, 2023

Smart mechatronics systems in agriculture can be traced back to the mid-1980s, when research into automated fruit harvesting began Japan, Europe, and United States. Impressive advances have been made since then developing for use modern agriculture. The aim of this study was review smart applications introduced date, different areas sector which they are being employed. Various literature search approaches were used obtain an overview current state-of-the-art, benefits, drawbacks systems. modules various networks applied processing agricultural products examined. Finally, relationships data retrieved tested using a one-way analysis variance on keywords sources. revealed limited sophisticated industry practice at time falling production rates dramatic decline reliability global food supply. could enterprises overcome these issues.

Language: Английский

Citations

13
Evaluating the intention to use Industry 5.0 (I5.0) drones for cleaner production in Sustainable Food Supply Chains: an emerging economy context DOI
Kamran Mahroof, Amizan Omar, Emilia Vann Yaroson

et al.

Supply Chain Management An International Journal, Journal Year: 2023, Volume and Issue: 29(3), P. 468 - 496

Published: Oct. 31, 2023

Purpose The purpose of this study is to evaluate food supply chain stakeholders’ intention use Industry 5.0 (I5.0) drones for cleaner production in chains. Design/methodology/approach authors used a quantitative research design and collected data using an online survey administered sample 264 stakeholders Nigeria. partial least square structural equation model was conducted assess the research’s hypothesised relationships. Findings provide empirical evidence support contributions I5.0 production. findings showed that are more concerned with specific operations, such as reducing plant diseases, which invariably enhances However, there less inclination drone adoption if aim pollution reduction, predicting seasonal output addressing workers’ health safety challenges. outline need awareness promote hazard challenges knowledge transfer on potentials emerging economies. Originality/value To best authors’ knowledge, first address drones’ sustainability model. contribute existing literature by extending identify promoting through system operations. This addresses gap augmenting model, suggesting technology motivated curbing categorised drivers mediators.

Language: Английский

Citations

13
Bibliometric Analysis and Scientific Mapping of IoT DOI
Hakan Özköse

Journal of Computer Information Systems, Journal Year: 2023, Volume and Issue: 63(6), P. 1438 - 1459

Published: Jan. 19, 2023

Internet of Things (IoT) studies to facilitate human life are increasing day by day. There more than 100.0000 academic related the IoT in Web Science (WoS) database. Therefore, it would be useful examine bibliometric performance, conceptual structure and thematic development IoT. This paper conducts a performance analysis using VosViewer SciMat from 2013 2022 for In this context, data 9679 articles were downloaded WoS. Bibliometric analyses such as changes number publications, determination prominent authors journals carried out. Finally, scientific mapping was performed SciMat. way, themes revealed wide-ranging description made. addition, relations between evolution these also revealed.

Language: Английский

Citations

11
Exploring Thematic Evolution in Interdisciplinary Forest Fire Prediction Research: A Latent Dirichlet Allocation–Bidirectional Encoder Representations from Transformers Model Analysis DOI Open Access
Shuo Zhang

Forests, Journal Year: 2025, Volume and Issue: 16(2), P. 346 - 346

Published: Feb. 14, 2025

Facing the severe global wildfire challenge and need for advanced prediction, this study analysed evolving research in forest fire prediction using an LDA-BERT similarity model. Due to climate change, human activities, natural factors, fires threaten ecosystems, society, system. The vast existing literature on makes it challenging identify themes manually. proposed model combines LDA BERT. was used topic mining, determining optimal number of topics by calculating semantic consistency. BERT employed word vector training, probabilities as weights. cosine algorithm normalisation were measure similarity. Through empirical 13,552 publications from 1980–2023 retrieved Web Science database, several key identified, such “wildfire risk management”, “vegetation habitat changes”, “climate change forests”. Research trends show a shift macro-level micro-level studies, with modern technologies becoming focus. Multidimensional scaling revealed hierarchical theme distribution, closely related being dominant. This offers valuable insights scientific community policymakers, facilitating understanding these changes contributing mitigation. However, has limitations like subjectivity theme-representative selection needs further improvement threshold setting performance evaluation. Future can optimise aspects integrate emerging enhance research.

Language: Английский

Citations

0
Smart beginnings, wise endings: unpacking the smart-wise cities DOI
Michele Kremer Sott

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 559 - 574

Published: Jan. 1, 2025

Language: Английский

Citations

0
Caminhos e (des)caminhos da segurança pública no brasil: por lentes foucaultianas DOI
Isabel Sousa,

João Henrique Mendes de Mesquita Araújo,

R. C. Sousa

et al.

Caderno Pedagógico, Journal Year: 2025, Volume and Issue: 22(5), P. e15222 - e15222

Published: March 31, 2025

O objetivo deste artigo é discutir sobre as políticas de segurança pública no Brasil e refletir a reforma do sistema segurança, considerando o contexto histórico em que se deu, implicações para atual Política Nacional Segurança Pública. Trata-se uma revisão integrativa, abordagem qualitativa, exploratório, com fundamento conceito Biopolítica, Foucault. Os dados foram produzidos por meio buscas, conveniência, nas bases SciELO, Scopus Google Scholar, esquematizados da estratégia PICO. Foram incluídos artigos relacionados às ênfase na seus desdobramentos. excluídos duplicidade publicação, incompletos os não disponíveis íntegra. realizadas leituras exploratória, seletiva inferencial dos artigos, livros capítulos livros, respondiam aos objetivos, seguindo três etapas técnica análise conteúdo Bardin. resultados evidenciaram política implicada pelo neoliberalismo agenciador desigualdades sociais, fazendo-se perceber discursos teóricos metodológicos multifacetados, contribui situação violência consequente necessidade reformar Brasil, forma contínua. Nesse contexto, além reformar, necessário identificar problematizar caminhos (des)caminhos forjaram avanços assim como situações vulnerabilidades inseguranças impressas pelas sociais afetas à sua estrutura. Portanto, embora reconheçam esforços, empreender efetivas, país ainda tem muitos desafios pela frente.

Citations

0